C Code Generation Applied to Nonlinear Model Predictive Control for an Artificial Pancreas

被引：0
|
作者：
Boiroux, Dimitri [1 ,2 ]
Jorgensen, John Bagterp [1 ]
机构：
[1] Tech Univ Denmark, Dept Appl Math & Comp Sci, DK-2800 Lyngby, Denmark
[2] Danish Diabet Acad, DK-5000 Odense, Denmark
来源：
2017 21ST INTERNATIONAL CONFERENCE ON PROCESS CONTROL (PC) | 2017年
关键词：
OPTIMIZATION; OIL;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
This paper presents a method to generate C code from MATLAB code applied to a nonlinear model predictive control (NMPC) algorithm. The C code generation uses the MATLAB Coder Toolbox. It can drastically reduce the time required for development compared to a manual porting of code from MATLAB to C, while ensuring a reliable and fairly optimized code. We present an application of code generation to the numerical solution of nonlinear optimal control problems (OCP). The OCP uses a sequential quadratic programming algorithm with multiple shooting and sensitivity computation. We consider the problem of glucose regulation for people with type 1 diabetes as a case study. The average computation time when using generated C code is 0.21 s (MATLAB: 1.5 s), and the maximum computation time when using generated C code is 0.97 s (MATLAB: 5.7 s). Compared to the MATLAB implementation, generated C code can run in average more than 7 times faster.
引用
收藏
页码：327 / 332
页数：6
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